GPU Compute Orchestration & Cloud Infrastructure
Client Descriptor: Emerging AI Development Firm
1. Challenge
The client faced high costs and scheduling bottlenecks deploying large-scale model training runs across fragmented GPU instances.
2. What BlockTec Built & Delivered
Architected and deployed high-performance GPU compute clusters, secure cloud hosting, and automated scaling configurations.
3. Architecture & Approach
We designed an Infrastructure-as-Code pipeline using Terraform to automate GPU cluster provisioning, integrated with Ray for distributed compute scaling.
4. Technologies Used
5. BlockTec's Role
Infrastructure architecture design, DevOps integration, and compute optimization.
6. Result & Outcome
The client achieved stable and repeatable training environments with predictable orchestration costs and significantly reduced cluster downtime.
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